Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

20 December 2013

Andrea Vedaldi

Papers citing "Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps"

50 / 83 papers shown

Title
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 82 0 0 23 May 2025
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Shuxian Ma Zihao Dong Runmin Cong Sam Kwong Xiuli Shao 34 0 0 23 May 2025
Minimizing False-Positive Attributions in Explanations of Non-Linear Models Anders Gjølbye Stefan Haufe Lars Kai Hansen 96 0 0 16 May 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 56 0 0 18 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 125 1 0 14 Apr 2025
Towards Combinatorial Interpretability of Neural Computation Micah Adler Dan Alistarh Nir Shavit FAtt 281 1 0 10 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model Soyeon Kim Junho Choi Yeji Choi Subeen Lee Artyom Stitsyuk Minkyoung Park Seongyeop Jeong Youhyun Baek Jaesik Choi XAI 79 2 0 01 Apr 2025
Investigating the Duality of Interpretability and Explainability in Machine Learning Moncef Garouani Josiane Mothe Ayah Barhrhouj Julien Aligon AAML 61 2 0 27 Mar 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 131 1 0 13 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations Kathleen Anderson Thomas Martinetz CVBM 87 0 0 12 Mar 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview Ahmad Chaddad Yan Hu Yihang Wu Binbin Wen R. Kateb 75 6 0 11 Mar 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 83 0 0 09 Mar 2025
Interpretable Visualizations of Data Spaces for Classification Problems Christian Jorgensen Arthur Y. Lin Rhushil Vasavada Rose K. Cersonsky 46 0 0 07 Mar 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders Vladimir Zaigrajew Hubert Baniecki P. Biecek 115 1 0 27 Feb 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 87 1 0 27 Feb 2025
Selective Prompt Anchoring for Code Generation Yuan Tian Tianyi Zhang 111 3 0 24 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 94 0 0 24 Feb 2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions Gregor Baer Isel Grau Chao Zhang Pieter Van Gorp AAML 57 0 0 24 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 195 0 0 20 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 100 0 0 17 Feb 2025
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 74 1 0 17 Feb 2025
Explaining 3D Computed Tomography Classifiers with Counterfactuals Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari MedIm 350 1 0 11 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 105 2 0 28 Jan 2025
Path Analysis for Effective Fault Localization in Deep Neural Networks Soroush Hashemifar Saeed Parsa A. Kalaee AAML 53 0 0 28 Jan 2025
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform M. Ataei Xiaogang Wang 48 0 0 28 Jan 2025
Generating visual explanations from deep networks using implicit neural representations Michal Byra Henrik Skibbe GAN FAtt 51 0 0 20 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 90 16 0 10 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 92 5 0 10 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 95 4 0 03 Jan 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation Qianli Wang Nils Feldhus Simon Ostermann Luis Felipe Villa-Arenas Sebastian Möller Vera Schmitt AAML 61 1 0 01 Jan 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 121 4 0 31 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 142 0 0 29 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 101 2 0 07 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 75 0 0 04 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 127 2 0 03 Nov 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 107 0 0 10 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 69 2 0 05 Oct 2024
Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model Kianusch Vahid Yousefnia Tobias Bölle Christoph Metzl 138 0 0 30 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 84 1 0 02 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 153 31 0 30 Aug 2024
Smooth InfoMax -- Towards easier Post-Hoc interpretability Fabian Denoodt Bart de Boer José Oramas 60 2 0 23 Aug 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 64 0 0 21 Aug 2024
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts Lisa Hemforth B. Couvy-Duchesne Kevin de Matos Camille Brianceau Matthieu Joulot ... V. Frouin Alexandre Martin IMAGEN study group C. Cury O. Colliot 42 1 0 05 Aug 2024
Interpreting artificial neural networks to detect genome-wide association signals for complex traits Burak Yelmen Maris Alver Estonian Biobank Research Team Flora Jay L. Milani Lili Milani 53 0 0 26 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 136 1 0 17 Jul 2024
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons Yongqi Leng Deyi Xiong 56 7 0 09 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 89 1 0 01 Jul 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 81 0 0 20 Jun 2024
CELL your Model: Contrastive Explanations for Large Language Models Ronny Luss Erik Miehling Amit Dhurandhar 65 0 0 17 Jun 2024
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 47 4 0 27 May 2024